Sr Applied Scientist, Amazon Shipping

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Datavetenskap · Mjukvaruutveckling

I korthet

Lead ML teams building large-scale forecasting and optimization systems for Amazon's global transportation network. This role involves defining scientific vision, mentoring scientists, and partnering with engineering and product leaders to deliver production-grade ML solutions at scale, impacting customer experience and cost.

Ansvarsområden

  • Lead and grow a high-performing team of Applied Scientists, providing technical guidance, mentorship, and career development.
  • Define and own the scientific vision and roadmap for ML solutions powering large-scale transportation planning and execution.
  • Guide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning.
  • Ensure models are production-ready, scalable, and robust through close partnership with stakeholders.
  • Partner with Product, Operations, and Engineering leaders to enable proactive decision-making and corrective actions.
  • Own end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability.
  • Contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing.
  • Review model performance and business metrics, guide technical design and experimentation, mentor scientists, and drive roadmap execution.
  • Balance near-term delivery with long-term innovation while ensuring solutions are robust, interpretable, and scalable.

Krav

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning

Önskade kvalifikationer

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • Experience with large scale distributed systems such as Hadoop, Spark etc.

Förmåner

  • Inclusive culture
  • Workplace accommodation for individuals with disabilities
#ML#machine learning#forecasting#optimization#transportation#supply chain#deep learning#Python#Java#C++

Företag

Amazon

Publicerade jobb

för 1 vecka sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Senior

Platser

Hyderabad, India

Gurugram, India

Kvalifikation

Masterexamen, Doktorand

Sökande

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